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Computer Vision Engineer Jobs in New York (NOW HIRING)

Norbert Health

Applied AI Engineer

Brooklyn, NY · On-site

... computer vision) on integration with their lower-level pipelines Qualifications : Required : • BS in Computer Science, Engineering, or a related field, or equivalent hands-on experience • 4+ ...

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · On-site

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture , data extraction , and ...

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · On-site

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture , data extraction , and ...

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · Hybrid

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture , data extraction , and ...

DHL eCommerce

Project Engineer

Avenel, NJ · On-site

Support computer vision and AI-related automation initiatives, including pilots and trials ... Industrial, System Engineering or Mechanical Engineering is preferred. * 2 years of work experience ...

Tata Consultancy Services

Agentic AI Engineer

Edison, NJ · On-site

$116K - $139K/yr

... computer vision tasks. • Write clean, efficient, and well-documented Python code for data ... teams (data engineers, researchers, and product managers) to integrate AI/ML solutions into ...

DHL eCommerce

Project Engineer

Avenel, NJ · Hybrid

The Project Engineer will support multiple strategic and tactical projects related to parcel ... Support computer vision and AI-related automation initiatives, including pilots and trials ...

Norbert Health

Applied AI Engineer

Brooklyn, NY

Partner with the algorithms team (signal processing, computer vision) on integration with their lower-level pipelines What we're looking for * BS in Computer Science, Engineering, or a related field ...

Norbert Health

Applied AI Engineer

New York, NY · On-site

Partner with the algorithms team (signal processing, computer vision) on integration with their lower-level pipelines What we're looking for * BS in Computer Science, Engineering, or a related field ...

Norbert Health

Applied AI Engineer

New York, NY · On-site

Partner with the algorithms team (signal processing, computer vision) on integration with their lower-level pipelines What we're looking for * BS in Computer Science, Engineering, or a related field ...

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Showing results 1-20

All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in New York

Computer Vision Engineer information

See New York salary details

$53.1K

$132.9K

$150.4K

How much do computer vision engineer jobs pay per year?

As of Jul 24, 2026, the average yearly pay for computer vision engineer in New York is $132,942.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,000.00 and $143,900.00 per year, depending on experience, location, and employer.

What do computer vision engineers do?

Computer vision engineers develop algorithms and models that enable computers to interpret and analyze visual data such as images and videos. They often work with machine learning frameworks, programming languages like Python or C++, and tools such as OpenCV or TensorFlow to create applications in areas like object detection, facial recognition, and autonomous systems.

What engineers make $300,000 a year?

Senior computer vision engineers, especially those with advanced skills in deep learning, machine learning, and experience with tools like TensorFlow or PyTorch, can earn $300,000 or more annually in high-demand industries such as technology, autonomous vehicles, or AI research. Compensation often depends on experience, location, and company size, with some roles in Silicon Valley or major tech firms reaching this level through base salary, bonuses, and stock options.

What are Computer Vision Engineers?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

What are the key skills and qualifications needed to thrive as a Computer Vision Engineer, and why are they important?

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What engineer makes $500,000 a year?

A senior computer vision engineer at top tech companies or in specialized industries can earn $500,000 or more annually, often including bonuses and stock options. These roles typically require advanced skills in machine learning, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong educational background and years of experience. Compensation varies based on location, company size, and individual expertise.

What Does a Computer Vision Engineer Do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are some common challenges faced by Computer Vision Engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

Will AI replace computer vision engineers?

AI is transforming the field of computer vision, but computer vision engineers are essential for developing, training, and maintaining AI models and systems. Their expertise in algorithms, programming, and domain knowledge ensures the effective application of AI in real-world scenarios, making complete replacement unlikely in the near term.
More about Computer Vision Engineer jobs
What are the most commonly searched types of Computer Vision Engineer jobs in New York? The most popular types of Computer Vision Engineer jobs in New York are:
What are popular job titles related to Computer Vision Engineer jobs in New York? For Computer Vision Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer jobs in New York look for? The top searched job categories for Computer Vision Engineer jobs in New York are:
What cities in New York are hiring for Computer Vision Engineer jobs? Cities in New York with the most Computer Vision Engineer job openings:
Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in New York as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $132,942 per year, or $63.9 per hour.
Applied AI Engineer

Applied AI Engineer

Norbert Health

Brooklyn, NY • On-site

Full-time

Posted 26 days ago

Job description

Job Summary:
Norbert Health is building autonomous robots that deliver healthcare. They are seeking an Applied AI Engineer to automate and improve MLOps pipelines for their AI sensing platform, integrating foundation models and ML components into production systems.
Responsibilities:
• Integrate foundation models and ML components (VLMs, LLMs, ASR/TTS, detection/segmentation, embeddings) into our production pipelines, using both open-weight models and third-party APIs
• Build RAG and agent-style orchestration for clinical reporting and conversational interfaces
• Ship real-time streaming pipelines (voice agents) alongside batch and request-response workloads
• Build evaluation harnesses that catch regressions across model swaps and measure performance against clinical-grade accuracy targets
• Fine-tune and retrain models (LoRA, PEFT, supervised fine-tuning) using data collected from our deployed fleet
• Deploy across our inference surfaces: third-party APIs, self-hosted, and on-robot edge
• Build the data flywheel: pipelines that collect, label, version, and feed production data back into model improvement
• Partner with the algorithms team (signal processing, computer vision) on integration with their lower-level pipelines
Qualifications:
Required:
• BS in Computer Science, Engineering, or a related field, or equivalent hands-on experience
• 4+ years shipping ML/AI systems in production outside of academic settings
• Strong working knowledge of the modern foundation model landscape (open-weight LLMs and VLMs, common detection/segmentation backbones, embedding models)
• Hands-on experience with PEFT/LoRA and supervised fine-tuning
• Strong Python; comfortable with the deployment toolchain (ONNX, quantization, at least one inference runtime—TensorRT, vLLM, llama.cpp, etc.)
• Experience with a cloud ML training/MLOps platform (GCP Vertex AI, AWS SageMaker, Azure ML, or equivalent)
• Ability to work independently, solve complex problems, and drive projects to completion
Preferred:
• Edge ML deployment (Jetson, ARM, mobile NPUs)
• Real-time voice AI pipelines (STT, TTS, streaming LLM)
• Production RAG systems beyond toy implementations
• Medical devices, SaMD, or other regulated ML environments
• MLOps tooling (Weights & Biases, MLflow, DVC, etc.)
• Active learning or human-in-the-loop labeling workflows
• C++ for integrating with our computer vision pipeline
Company:
Norbert Health develops a home medical pod that monitors the health of families using contactless sensors. Founded in 2019, the company is headquartered in Brooklyn, USA, with a team of 11-50 employees. The company is currently Early Stage.

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